Lead the architecture, development, deployment, and evaluation of enterprise AI systems and agentic applications. Build production-grade LLM solutions using retrieval, APIs, data systems, and cloud infrastructure; guide engineers through technical decisions; engage directly with customers; mentor teams; and convert successful deployment patterns into reusable architectures. The role also involves monitoring model quality, reliability, safety, and performance while sharing field insights with Product and Research.

Lead the architecture, development, deployment, and production readiness of enterprise AI systems and agentic applications. Build reliable LLM-powered solutions using retrieval, APIs, data systems, and cloud infrastructure; establish evaluation and monitoring practices; mentor engineers; collaborate with customer stakeholders; and convert successful deployment patterns into reusable architectures and platform assets.